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Volumn 48, Issue 1, 2012, Pages 67-74

Prediction of diesel fuel cold properties using artificial neural networks

Author keywords

artificial neural networks; cloud point; cold filter plugging point; diesel fuel

Indexed keywords

ABSOLUTE ERROR; CLOUD POINTS; COLD FILTER PLUGGING POINT; DEVELOPED MODEL; DISTILLATION TEMPERATURE; HIDDEN LAYER NEURONS; INPUT DATAS; MULTI LAYER PERCEPTRON; MULTI-LAYER PERCEPTRON NETWORKS; OPTIMAL NEURAL NETWORK; PREDICTIVE ABILITIES; RADIAL BASIS FUNCTIONS; TRAINING ALGORITHMS; TRAINING DATA;

EID: 84859757769     PISSN: 00093092     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10553-012-0339-y     Document Type: Article
Times cited : (7)

References (19)
  • 14
    • 84870423334 scopus 로고    scopus 로고
    • ASTM D 1298:1999 or API Gravity of Crude Petroleum and Liquid Petroleum Product by Hydrometer Method
    • ASTM D 1298:1999, Standard Practice for Density, Relative Density (Specific Gravity), or API Gravity of Crude Petroleum and Liquid Petroleum Product by Hydrometer Method.
    • Standard Practice for Density, Relative Density (Specific Gravity)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.